Document (#7026)

Author

Sabah, G.

Title

Knowledge representation and natural language understanding

Source

AI communications. 6(1993) nos.3/4, S.155-186

Year

1993

Abstract

Describes the basic artificial intelligence techniques in linguistic knowledge processing which attempts to get machines to understand natural languages. Focusses on how computing techniques can model the communication process. Briefly examines the theoretical and practical importance of this field. Introduces a sample of theories used to represent linguistic knowledge. Present semantic representations (various logics and semantic networks) and examines pragmatic aspects of communication (of discourse analysis). Describes parsing systems. Addresses architectural issues. Shows why Distributed Artificial Intelligence and reflective systems offers the best framework taking examples from the CARAMEL (Comprehension Automatique de Recites, Apprentissage et Modelisation des Exchanges langagiers)

Theme

Computerlinguistik

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